Casal2 Test Case MPD comparisons for HOK

1 HOK comparison of CASAL and Casal2 model configurations

This document compares the results of at least 2 CASAL model configurations (base and at least one sensitivity) and up to 6 Casal2 model configurations (3 BetaDiff and 3 ADOL-C).

The CASAL model sensitivity 1 has a smaller minimisation tolerance value than the CASAL base model (1e-9 vs. 1e-6).

The Casal2 ADOL-C and BetaDiff low tolerance models have a smaller tolerance value than the CASAL base model (1e-9 vs. 1e-6).

1.1 HOK model characteristics

The main characteristics of the Test Case HOK (hoki) CASAL model are:

• one stock, ages 1 - 17
• one area, although many characteristics are separated into “east” and “west”
• years 1972 - 2018, projection years 2019 - 2023
• five time steps: Oct_Nov, Dec_Mar, Apr_Jun, End_Jun, and Jul_Sep
• five stock categories: west.sa, east.cr, west.cr, west.wc, and east.cs (labeled “stock.area”)
• five migration processes, which have age-specific proportions specified
• sex-specific natural mortality-at-age is double exponential
• area-specific von Bertalanffy age-length relationship
• area-specific length-weight relationship (\(W = aL^b\))
• area-specific Beverton-Holt stock-recruitment relationships, with steepness (h) 0.75
• ageing error is specified
• surveys with double normal selectivity
• six area-specific fisheries with double normal selectivity

Observation data include:

• survey indices
• survey proportions-at-age
• fishery proportions-at-age

Parameters estimated include:

• area-specific B0
• parameters for the natural mortality-at-age ogive
• catchability (q) for the surveys
• parameters for the selectivity curves for the surveys
• parameters for the selectivity curves for the fisheries
• migration proportions by age
• area-specific YCS (recruitment deviations)

1.2 R environment

## [1] "Tue Sep 28 20:28:38 2021"
## R version 3.6.3 (2020-02-29)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Debian GNU/Linux 11 (bullseye)
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0
## 
## locale:
##  [1] LC_CTYPE=en_NZ.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_NZ.UTF-8        LC_COLLATE=en_NZ.UTF-8    
##  [5] LC_MONETARY=en_NZ.UTF-8    LC_MESSAGES=en_NZ.UTF-8   
##  [7] LC_PAPER=en_NZ.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_NZ.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] Casal2_21.08   casal_2.30     devtools_2.4.2 usethis_2.0.1  rlist_0.4.6.2 
##  [6] ggthemes_4.2.4 gridExtra_2.3  coda_0.19-4    ggmcmc_1.5.1.1 ggplot2_3.3.5 
## [11] tidyr_1.1.3    huxtable_5.4.0 dplyr_1.0.7    plyr_1.8.6    
## 
## loaded via a namespace (and not attached):
##  [1] Rcpp_1.0.7         lattice_0.20-41    prettyunits_1.1.1  ps_1.6.0          
##  [5] assertthat_0.2.1   rprojroot_2.0.2    digest_0.6.27      utf8_1.2.2        
##  [9] R6_2.5.1           evaluate_0.14      pillar_1.6.2       rlang_0.4.11      
## [13] rstudioapi_0.13    data.table_1.14.0  callr_3.7.0        jquerylib_0.1.4   
## [17] rmarkdown_2.11     desc_1.3.0         stringr_1.4.0      munsell_0.5.0     
## [21] compiler_3.6.3     xfun_0.26          pkgconfig_2.0.3    pkgbuild_1.2.0    
## [25] htmltools_0.5.2    tidyselect_1.1.1   tibble_3.1.4       reshape_0.8.8     
## [29] fansi_0.5.0        crayon_1.4.1       withr_2.4.2        grid_3.6.3        
## [33] jsonlite_1.7.2     GGally_2.1.2       gtable_0.3.0       lifecycle_1.0.0   
## [37] DBI_1.1.1          magrittr_2.0.1     scales_1.1.1       cli_3.0.1         
## [41] stringi_1.7.4      cachem_1.0.6       remotes_2.4.0      fs_1.5.0          
## [45] testthat_3.0.4     bslib_0.3.0        ellipsis_0.3.2     generics_0.1.0    
## [49] vctrs_0.3.8        RColorBrewer_1.1-2 tools_3.6.3        glue_1.4.2        
## [53] purrr_0.3.4        processx_3.5.2     pkgload_1.2.2      fastmap_1.1.0     
## [57] yaml_2.2.1         colorspace_2.0-2   sessioninfo_1.1.1  memoise_2.0.0     
## [61] knitr_1.34         sass_0.4.0

1.3 CASAL and Casal2 model output

source('../../R-functions/report_read_in_CASAL_MPD_files.R')

source('../../R-functions/report_read_in_Casal2_MPD_files.R')

1.4 Tables

Tables of parameter estimates and objective function components for the CASAL and Casal2 model MPD results

CASAL parameter estimates

rownames	Base_Model	Sensitivity_1	Percent_Diff
q[CSacous].q	0.43120	0.43120	0.000
q[WCacous].q	0.30030	0.30020	0.033
q[CRsum].q	0.07431	0.07431	0.000
q[SAsum].q	0.05925	0.05925	0.000
q[SAaut].q	0.06717	0.06717	0.000
relative_abundance[CRsumbio].cv_process_error	0.14050	0.14050	0.000
relative_abundance[SAsumbio].cv_process_error	0.43060	0.43060	0.000
log_B0_total	14.34000	14.34000	0.000
B0_prop_stock1	0.32870	0.32870	0.000
natural_mortality.all	0.29600	0.29600	0.000
selectivity[Wspsl].shift_a	-0.21740	-0.21740	0.000
recruitment[E].YCS1	0.44780	0.44780	0.000
recruitment[E].YCS2	0.72680	0.72680	0.000
recruitment[E].YCS3	0.78450	0.78450	0.000
recruitment[E].YCS4	1.36000	1.36000	0.000
recruitment[E].YCS5	0.98770	0.98780	-0.010
recruitment[E].YCS6	0.32930	0.32930	0.000
recruitment[E].YCS7	0.44720	0.44720	0.000
recruitment[E].YCS8	0.26560	0.26560	0.000
recruitment[E].YCS9	0.43420	0.43420	0.000
recruitment[E].YCS10	0.48800	0.48800	0.000
recruitment[E].YCS11	0.39570	0.39570	0.000
recruitment[E].YCS12	0.21790	0.21790	0.000
recruitment[E].YCS13	1.03600	1.03600	0.000
recruitment[E].YCS14	0.95890	0.95890	0.000
recruitment[E].YCS15	0.42900	0.42900	0.000
recruitment[E].YCS16	0.13810	0.13810	0.000
recruitment[E].YCS17	0.37500	0.37500	0.000
recruitment[E].YCS18	0.39170	0.39160	0.026
recruitment[E].YCS19	0.38310	0.38310	0.000
recruitment[E].YCS20	0.56290	0.56290	0.000
recruitment[E].YCS21	0.26400	0.26400	0.000
recruitment[E].YCS22	0.28450	0.28450	0.000
recruitment[E].YCS23	0.45000	0.45000	0.000
recruitment[E].YCS24	0.25310	0.25310	0.000
recruitment[E].YCS25	0.06000	0.06000	0.000
recruitment[E].YCS26	0.46220	0.46220	0.000
recruitment[E].YCS27	0.16160	0.16160	0.000
recruitment[E].YCS28	0.26690	0.26690	0.000
recruitment[E].YCS29	0.50040	0.50040	0.000
recruitment[E].YCS30	0.52000	0.52000	0.000
recruitment[E].YCS31	0.50880	0.50880	0.000
recruitment[E].YCS32	0.60060	0.60060	0.000
recruitment[E].YCS33	0.52210	0.52210	0.000
recruitment[E].YCS34	0.37300	0.37300	0.000
recruitment[E].YCS35	0.52680	0.52680	0.000
recruitment[E].YCS36	0.15860	0.15860	0.000
recruitment[E].YCS37	0.66060	0.66060	0.000
recruitment[E].YCS38	0.15600	0.15600	0.000
recruitment[E].YCS39	0.18580	0.18580	0.000
recruitment[E].YCS40	0.73060	0.73060	0.000
recruitment[E].YCS41	0.73910	0.73900	0.014
recruitment[E].YCS42	1.19500	1.19500	0.000
recruitment[W].YCS1	0.45700	0.45700	0.000
recruitment[W].YCS2	0.82220	0.82220	0.000
recruitment[W].YCS3	0.67000	0.67000	0.000
recruitment[W].YCS4	0.65390	0.65390	0.000
recruitment[W].YCS5	0.46590	0.46590	0.000
recruitment[W].YCS6	0.51510	0.51510	0.000
recruitment[W].YCS7	0.57820	0.57820	0.000
recruitment[W].YCS8	0.47330	0.47330	0.000
recruitment[W].YCS9	0.87190	0.87190	0.000
recruitment[W].YCS10	0.83640	0.83650	-0.012
recruitment[W].YCS11	0.32020	0.32020	0.000
recruitment[W].YCS12	0.16500	0.16500	0.000
recruitment[W].YCS13	1.47600	1.47600	0.000
recruitment[W].YCS14	0.77270	0.77280	-0.013
recruitment[W].YCS15	0.08135	0.08135	0.000
recruitment[W].YCS16	0.08158	0.08158	0.000
recruitment[W].YCS17	0.89280	0.89280	0.000
recruitment[W].YCS18	1.26800	1.26800	0.000
recruitment[W].YCS19	0.37720	0.37720	0.000
recruitment[W].YCS20	0.95940	0.95940	0.000
recruitment[W].YCS21	0.22110	0.22110	0.000
recruitment[W].YCS22	0.19720	0.19720	0.000
recruitment[W].YCS23	0.23790	0.23800	-0.042
recruitment[W].YCS24	0.20290	0.20290	0.000
recruitment[W].YCS25	0.06000	0.06000	0.000
recruitment[W].YCS26	0.37300	0.37300	0.000
recruitment[W].YCS27	0.09548	0.09548	0.000
recruitment[W].YCS28	0.79560	0.79560	0.000
recruitment[W].YCS29	0.46520	0.46520	0.000
recruitment[W].YCS30	0.51660	0.51660	0.000
recruitment[W].YCS31	0.51130	0.51130	0.000
recruitment[W].YCS32	0.75540	0.75540	0.000
recruitment[W].YCS33	0.63890	0.63890	0.000
recruitment[W].YCS34	0.61690	0.61690	0.000
recruitment[W].YCS35	0.57840	0.57840	0.000
recruitment[W].YCS36	0.14550	0.14550	0.000
recruitment[W].YCS37	0.97480	0.97480	0.000
recruitment[W].YCS38	0.16020	0.16020	0.000
recruitment[W].YCS39	0.24440	0.24440	0.000
recruitment[W].YCS40	2.19700	2.19700	0.000
recruitment[W].YCS41	2.15200	2.15200	0.000
recruitment[W].YCS42	1.19500	1.19500	0.000
migration[Whome].rates_all1	0.32780	0.32780	0.000
migration[Whome].rates_all2	0.30780	0.30780	0.000
migration[Whome].rates_all3	0.47620	0.47620	0.000
migration[Whome].rates_all4	0.14180	0.14180	0.000
migration[Whome].rates_all5	0.46850	0.46840	0.021
migration[Whome].rates_all6	0.74980	0.75030	-0.067
migration[Whome].rates_all7	0.79470	0.78840	0.793
migration[Whome].rates_all8	1.00000	1.00000	0.000
migration[Espmg].rates_all1	0.00566	0.00566	0.000
migration[Espmg].rates_all2	0.16020	0.16020	0.000
migration[Espmg].rates_all3	0.32410	0.32410	0.000
migration[Espmg].rates_all4	0.43120	0.43120	0.000
migration[Espmg].rates_all5	0.38550	0.38550	0.000
migration[Espmg].rates_all6	0.46540	0.46530	0.021
migration[Espmg].rates_all7	0.59900	0.59900	0.000
migration[Espmg].rates_all8	0.60780	0.60780	0.000
migration[Wspmg].rates_all1	0.10610	0.10610	0.000
migration[Wspmg].rates_all2	0.28770	0.28770	0.000
migration[Wspmg].rates_all3	0.27080	0.27080	0.000
migration[Wspmg].rates_all4	0.45530	0.45530	0.000
migration[Wspmg].rates_all5	0.48470	0.48470	0.000
migration[Wspmg].rates_all6	0.52710	0.52710	0.000
migration[Wspmg].rates_all7	0.66060	0.66060	0.000
migration[Wspmg].rates_all8	0.59630	0.59630	0.000
selectivity[Enspsl].all1	3.56700	3.56700	0.000
selectivity[Enspsl].all2	1.22100	1.22100	0.000
selectivity[Enspsl].all3	15.71000	15.71000	0.000
selectivity[Wnspsl].all1	5.34100	5.34100	0.000
selectivity[Wnspsl].all2	2.83900	2.83900	0.000
selectivity[Wnspsl].all3	13.38000	13.38000	0.000
selectivity[Espsl].all1	10.88000	10.88000	0.000
selectivity[Espsl].all2	11.68000	11.68000	0.000
selectivity[Espsl].all3	3.98200	3.98200	0.000
selectivity[CRsl].all1	1.00000	1.00000	0.000
selectivity[CRsl].all2	1.00000	1.00000	0.000
selectivity[CRsl].all3	9.30000	9.30000	0.000
selectivity[SAsl].all1	14.25000	14.25000	0.000
selectivity[SAsl].all2	8.75500	8.75600	-0.011
selectivity[SAsl].all3	1.31500	1.31500	0.000

Casal2 parameter estimates

rownames	betadiff_casal_flags_on	betadiff_casal_flags_off	betadiff_casal_flags_on_low_tol	adolc_casal_flags_on	adolc_casal_flags_off	adolc_casal_flags_on_low_tol
catchability[CSacous].q	0.42724	0.42786	0.43116	0.43829	0.43770	0.43829
catchability[WCacous].q	0.31284	0.31244	0.30024	0.27303	0.27856	0.27303
catchability[CRsum].q	0.06832	0.06812	0.07431	0.08044	0.07817	0.08044
catchability[SAsum].q	0.06717	0.06706	0.05925	0.04403	0.04676	0.04403
catchability[SAaut].q	0.07578	0.07563	0.06717	0.04760	0.05060	0.04760
observation[CRsumbio].process_error	0.14094	0.14089	0.14048	0.14956	0.14992	0.14956
observation[SAsumbio].process_error	0.42364	0.42381	0.43061	0.40906	0.40764	0.40906
process[recruit_E].b0	548395.00000	547497.00000	555125.00000	564399.00000	561440.00000	564399.00000
process[recruit_W].b0	1082670.00000	1083360.00000	1133680.00000	1246900.00000	1220960.00000	1246900.00000
process[Instant_mortality].m{west.sa}	0.31271	0.31293	0.29598	0.26632	0.27151	0.26632
time_varying[shifted_mu].a	-0.22921	-0.22959	-0.21744	-0.17795	-0.17121	-0.17795
process[recruit_E].ycs_values{1975}	0.44537	0.44590	0.44782	0.44226	0.44368	0.44226
process[recruit_E].ycs_values{1976}	0.72940	0.73052	0.72680	0.70501	0.70695	0.70501
process[recruit_E].ycs_values{1977}	0.79231	0.79333	0.78454	0.75637	0.75887	0.75637
process[recruit_E].ycs_values{1978}	1.38645	1.38827	1.36001	1.29318	1.30663	1.29318
process[recruit_E].ycs_values{1979}	1.00265	1.00372	0.98776	0.94780	0.95478	0.94780
process[recruit_E].ycs_values{1980}	0.33437	0.33462	0.32932	0.31728	0.31857	0.31728
process[recruit_E].ycs_values{1981}	0.45502	0.45535	0.44723	0.42896	0.43281	0.42896
process[recruit_E].ycs_values{1982}	0.26974	0.26989	0.26556	0.25612	0.25738	0.25612
process[recruit_E].ycs_values{1983}	0.44106	0.44100	0.43418	0.41937	0.42138	0.41937
process[recruit_E].ycs_values{1984}	0.49412	0.49422	0.48804	0.47409	0.47613	0.47409
process[recruit_E].ycs_values{1985}	0.40010	0.40014	0.39570	0.38562	0.38707	0.38562
process[recruit_E].ycs_values{1986}	0.21978	0.21982	0.21791	0.21369	0.21436	0.21369
process[recruit_E].ycs_values{1987}	1.04131	1.04095	1.03640	1.01491	1.01581	1.01491
process[recruit_E].ycs_values{1988}	0.96346	0.96315	0.95891	0.92921	0.92974	0.92921
process[recruit_E].ycs_values{1989}	0.43095	0.43112	0.42899	0.42652	0.42682	0.42652
process[recruit_E].ycs_values{1990}	0.13797	0.13798	0.13810	0.13941	0.13937	0.13941
process[recruit_E].ycs_values{1991}	0.37385	0.37335	0.37500	0.37059	0.36982	0.37059
process[recruit_E].ycs_values{1992}	0.38858	0.38757	0.39164	0.38892	0.38683	0.38892
process[recruit_E].ycs_values{1993}	0.37995	0.37988	0.38310	0.39087	0.38935	0.39087
process[recruit_E].ycs_values{1994}	0.55794	0.55726	0.56285	0.55320	0.55071	0.55320
process[recruit_E].ycs_values{1995}	0.26178	0.26178	0.26399	0.26716	0.26614	0.26716
process[recruit_E].ycs_values{1996}	0.28251	0.28248	0.28447	0.28982	0.28898	0.28982
process[recruit_E].ycs_values{1997}	0.44781	0.44759	0.45003	0.45227	0.45065	0.45227
process[recruit_E].ycs_values{1998}	0.25264	0.25249	0.25307	0.25168	0.25128	0.25168
process[recruit_E].ycs_values{1999}	0.06000	0.06000	0.06000	0.06042	0.06050	0.06042
process[recruit_E].ycs_values{2000}	0.46013	0.45987	0.46220	0.46516	0.46407	0.46516
process[recruit_E].ycs_values{2001}	0.16086	0.16087	0.16165	0.16496	0.16481	0.16496
process[recruit_E].ycs_values{2002}	0.26611	0.26560	0.26689	0.26490	0.26423	0.26490
process[recruit_E].ycs_values{2003}	0.49959	0.49943	0.50038	0.50607	0.50555	0.50607
process[recruit_E].ycs_values{2004}	0.52053	0.52031	0.52003	0.52433	0.52480	0.52433
process[recruit_E].ycs_values{2005}	0.50764	0.50754	0.50882	0.51668	0.51632	0.51668
process[recruit_E].ycs_values{2006}	0.60013	0.59986	0.60055	0.60752	0.60760	0.60752
process[recruit_E].ycs_values{2007}	0.52088	0.52080	0.52215	0.53989	0.53998	0.53989
process[recruit_E].ycs_values{2008}	0.37115	0.37047	0.37300	0.37575	0.37469	0.37575
process[recruit_E].ycs_values{2009}	0.52790	0.52786	0.52681	0.54772	0.54828	0.54772
process[recruit_E].ycs_values{2010}	0.15695	0.15690	0.15864	0.16598	0.16514	0.16598
process[recruit_E].ycs_values{2011}	0.66047	0.66029	0.66058	0.68223	0.68177	0.68223
process[recruit_E].ycs_values{2012}	0.15554	0.15558	0.15600	0.16216	0.16198	0.16216
process[recruit_E].ycs_values{2013}	0.18518	0.18518	0.18584	0.19337	0.19281	0.19337
process[recruit_E].ycs_values{2014}	0.72844	0.72808	0.73062	0.77024	0.77071	0.77024
process[recruit_E].ycs_values{2015}	0.75587	0.75231	0.73900	0.67528	0.68088	0.67528
process[recruit_E].ycs_values{2016}	1.18886	1.18938	1.19515	1.31568	1.31862	1.31568
process[recruit_W].ycs_values{1975}	0.45869	0.45872	0.45702	0.46544	0.47243	0.46544
process[recruit_W].ycs_values{1976}	0.81422	0.81433	0.82218	0.87716	0.84528	0.87716
process[recruit_W].ycs_values{1977}	0.68514	0.68494	0.67000	0.68696	0.67014	0.68696
process[recruit_W].ycs_values{1978}	0.66937	0.66905	0.65390	0.64637	0.65166	0.64637
process[recruit_W].ycs_values{1979}	0.47307	0.47275	0.46590	0.46557	0.46744	0.46557
process[recruit_W].ycs_values{1980}	0.52064	0.52052	0.51512	0.51779	0.52102	0.51779
process[recruit_W].ycs_values{1981}	0.58344	0.58328	0.57824	0.58379	0.58855	0.58379
process[recruit_W].ycs_values{1982}	0.47462	0.47440	0.47328	0.48132	0.48308	0.48132
process[recruit_W].ycs_values{1983}	0.87309	0.87375	0.87192	0.89450	0.89795	0.89450
process[recruit_W].ycs_values{1984}	0.83633	0.83738	0.83646	0.86422	0.86874	0.86422
process[recruit_W].ycs_values{1985}	0.31942	0.31975	0.32024	0.33091	0.33247	0.33091
process[recruit_W].ycs_values{1986}	0.16493	0.16484	0.16497	0.16942	0.16910	0.16942
process[recruit_W].ycs_values{1987}	1.48007	1.48065	1.47555	1.56228	1.55638	1.56228
process[recruit_W].ycs_values{1988}	0.77454	0.77530	0.77276	0.81367	0.81027	0.81367
process[recruit_W].ycs_values{1989}	0.08148	0.08147	0.08134	0.08125	0.08138	0.08125
process[recruit_W].ycs_values{1990}	0.08183	0.08179	0.08158	0.08066	0.08104	0.08066
process[recruit_W].ycs_values{1991}	0.89197	0.89189	0.89280	0.85522	0.85385	0.85522
process[recruit_W].ycs_values{1992}	1.26757	1.26783	1.26778	1.24792	1.25111	1.24792
process[recruit_W].ycs_values{1993}	0.37652	0.37648	0.37722	0.37426	0.37573	0.37426
process[recruit_W].ycs_values{1994}	0.95579	0.95557	0.95939	0.99518	0.99455	0.99518
process[recruit_W].ycs_values{1995}	0.22026	0.22015	0.22113	0.22163	0.22190	0.22163
process[recruit_W].ycs_values{1996}	0.19632	0.19626	0.19718	0.18649	0.18707	0.18649
process[recruit_W].ycs_values{1997}	0.23643	0.23678	0.23795	0.23369	0.23544	0.23369
process[recruit_W].ycs_values{1998}	0.20041	0.20061	0.20292	0.21102	0.21130	0.21102
process[recruit_W].ycs_values{1999}	0.06000	0.06000	0.06000	0.06035	0.06041	0.06035
process[recruit_W].ycs_values{2000}	0.37089	0.37133	0.37304	0.37965	0.38049	0.37965
process[recruit_W].ycs_values{2001}	0.09506	0.09510	0.09548	0.09669	0.09680	0.09669
process[recruit_W].ycs_values{2002}	0.79553	0.79576	0.79558	0.79999	0.80172	0.79999
process[recruit_W].ycs_values{2003}	0.46570	0.46588	0.46517	0.46952	0.47113	0.46952
process[recruit_W].ycs_values{2004}	0.51761	0.51784	0.51662	0.52101	0.52279	0.52101
process[recruit_W].ycs_values{2005}	0.51305	0.51314	0.51126	0.51461	0.51660	0.51461
process[recruit_W].ycs_values{2006}	0.75475	0.75487	0.75544	0.74840	0.74983	0.74840
process[recruit_W].ycs_values{2007}	0.63692	0.63676	0.63891	0.61722	0.61759	0.61722
process[recruit_W].ycs_values{2008}	0.61564	0.61614	0.61686	0.60578	0.60637	0.60578
process[recruit_W].ycs_values{2009}	0.57305	0.57292	0.57841	0.55919	0.55759	0.55919
process[recruit_W].ycs_values{2010}	0.14618	0.14626	0.14547	0.14071	0.14150	0.14071
process[recruit_W].ycs_values{2011}	0.96708	0.96669	0.97478	0.94359	0.94060	0.94359
process[recruit_W].ycs_values{2012}	0.15909	0.15897	0.16016	0.15558	0.15513	0.15558
process[recruit_W].ycs_values{2013}	0.24402	0.24389	0.24444	0.22229	0.22166	0.22229
process[recruit_W].ycs_values{2014}	2.18651	2.18474	2.19657	2.08545	2.08160	2.08545
process[recruit_W].ycs_values{2015}	2.14758	2.14969	2.15204	2.13078	2.13103	2.13078
process[recruit_W].ycs_values{2016}	1.18909	1.18961	1.19539	1.31594	1.31888	1.31594
selectivity[sel_Whome].v{1}	0.32193	0.32136	0.32783	0.25407	0.24825	0.25407
selectivity[sel_Whome].v{2}	0.28491	0.28386	0.30778	0.18100	0.16819	0.18100
selectivity[sel_Whome].v{3}	0.45972	0.45775	0.47620	0.56748	0.55945	0.56748
selectivity[sel_Whome].v{4}	0.13549	0.13503	0.14184	0.31038	0.31166	0.31038
selectivity[sel_Whome].v{5}	0.43782	0.43169	0.46836	0.56184	0.54812	0.56184
selectivity[sel_Whome].v{6}	0.70821	0.71891	0.75026	0.83804	0.83594	0.83804
selectivity[sel_Whome].v{7}	0.99991	0.75961	0.78841	1.00000	1.00000	1.00000
selectivity[sel_Espmg].v{1}	0.00564	0.00564	0.00566	0.00470	0.00461	0.00470
selectivity[sel_Espmg].v{2}	0.15912	0.15901	0.16021	0.14082	0.13857	0.14082
selectivity[sel_Espmg].v{3}	0.32082	0.32056	0.32411	0.29774	0.29407	0.29774
selectivity[sel_Espmg].v{4}	0.42547	0.42513	0.43123	0.41211	0.40826	0.41211
selectivity[sel_Espmg].v{5}	0.37953	0.37926	0.38546	0.38060	0.37813	0.38060
selectivity[sel_Espmg].v{6}	0.45876	0.45847	0.46535	0.46940	0.46783	0.46940
selectivity[sel_Espmg].v{7}	0.59081	0.59044	0.59902	0.61216	0.61220	0.61216
selectivity[sel_Espmg].v{8}	0.61100	0.61064	0.60778	0.60742	0.61114	0.60742
selectivity[sel_Wspmg].v{1}	0.10556	0.10553	0.10614	0.12197	0.12118	0.12197
selectivity[sel_Wspmg].v{2}	0.29136	0.29139	0.28774	0.37077	0.37559	0.37077
selectivity[sel_Wspmg].v{3}	0.27068	0.27066	0.27076	0.27168	0.27078	0.27168
selectivity[sel_Wspmg].v{4}	0.45527	0.45520	0.45525	0.44589	0.44410	0.44589
selectivity[sel_Wspmg].v{5}	0.48421	0.48434	0.48466	0.48237	0.48097	0.48237
selectivity[sel_Wspmg].v{6}	0.52496	0.52398	0.52711	0.53433	0.53274	0.53433
selectivity[sel_Wspmg].v{7}	0.65298	0.65591	0.66062	0.67481	0.67392	0.67481
selectivity[sel_Wspmg].v{8}	0.60153	0.60101	0.59627	0.59152	0.59594	0.59152
selectivity[Enspsl].mu	3.57318	3.57227	3.56716	3.74402	3.75335	3.74402
selectivity[Enspsl].sigma_l	1.22245	1.22206	1.22108	1.32447	1.32933	1.32447
selectivity[Enspsl].sigma_r	49.99930	50.00000	15.71370	10.81980	11.42320	10.81980
selectivity[Wnspsl].mu	5.32840	5.32952	5.34117	14.38600	14.51750	14.38600
selectivity[Wnspsl].sigma_l	2.77815	2.77845	2.83934	49.26740	49.03790	49.26740
selectivity[Wnspsl].sigma_r	49.99920	49.99990	13.37890	1.00382	1.00451	1.00382
selectivity[Espsl].mu	11.25670	11.25470	10.87880	10.50100	10.62730	10.50100
selectivity[Espsl].sigma_l	10.86740	10.85940	11.67750	49.93370	49.92180	49.93370
selectivity[Espsl].sigma_r	4.02625	4.02912	3.98165	3.80384	3.78780	3.80384
selectivity[CRsl].mu	1.00000	1.00000	1.00000	1.00199	1.00235	1.00199
selectivity[CRsl].sigma_l	46.52130	46.52210	46.02310	49.98790	49.98580	49.98790
selectivity[CRsl].sigma_r	10.09280	10.08780	9.30042	8.43285	8.57003	8.43285
selectivity[SAsl].mu	14.86840	14.86480	14.25230	13.04680	14.50330	13.04680
selectivity[SAsl].sigma_l	8.69466	8.69281	8.75558	10.63250	11.70200	10.63250
selectivity[SAsl].sigma_r	1.00000	1.00000	1.31519	2.04148	1.01795	2.04148

Casal2 parameter estimates: Percent Difference from betadiff_casal_flags_on

rownames	betadiff_casal_flags_on	betadiff_casal_flags_off	betadiff_casal_flags_on_low_tol	adolc_casal_flags_on	adolc_casal_flags_off	adolc_casal_flags_on_low_tol
catchability[CSacous].q	0.000	-0.146	-0.918	-2.587	-2.449	-2.587
catchability[WCacous].q	0.000	0.128	4.027	12.726	10.958	12.726
catchability[CRsum].q	0.000	0.298	-8.765	-17.738	-14.416	-17.738
catchability[SAsum].q	0.000	0.171	11.796	34.450	30.382	34.450
catchability[SAaut].q	0.000	0.188	11.363	37.182	33.228	37.182
observation[CRsumbio].process_error	0.000	0.035	0.328	-6.110	-6.368	-6.110
observation[SAsumbio].process_error	0.000	-0.040	-1.645	3.442	3.776	3.442
process[recruit_E].b0	0.000	0.164	-1.227	-2.918	-2.379	-2.918
process[recruit_W].b0	0.000	-0.064	-4.712	-15.169	-12.773	-15.169
process[Instant_mortality].m{west.sa}	0.000	-0.070	5.349	14.836	13.174	14.836
time_varying[shifted_mu].a	0.000	-0.166	5.135	22.364	25.306	22.364
process[recruit_E].ycs_values{1975}	0.000	-0.118	-0.549	0.700	0.379	0.700
process[recruit_E].ycs_values{1976}	0.000	-0.154	0.356	3.343	3.077	3.343
process[recruit_E].ycs_values{1977}	0.000	-0.128	0.981	4.536	4.220	4.536
process[recruit_E].ycs_values{1978}	0.000	-0.131	1.907	6.727	5.757	6.727
process[recruit_E].ycs_values{1979}	0.000	-0.107	1.485	5.471	4.775	5.471
process[recruit_E].ycs_values{1980}	0.000	-0.073	1.512	5.110	4.725	5.110
process[recruit_E].ycs_values{1981}	0.000	-0.072	1.712	5.727	4.881	5.727
process[recruit_E].ycs_values{1982}	0.000	-0.055	1.551	5.049	4.585	5.049
process[recruit_E].ycs_values{1983}	0.000	0.013	1.559	4.918	4.462	4.918
process[recruit_E].ycs_values{1984}	0.000	-0.022	1.230	4.053	3.639	4.053
process[recruit_E].ycs_values{1985}	0.000	-0.009	1.102	3.621	3.257	3.621
process[recruit_E].ycs_values{1986}	0.000	-0.022	0.850	2.771	2.465	2.771
process[recruit_E].ycs_values{1987}	0.000	0.035	0.472	2.535	2.449	2.535
process[recruit_E].ycs_values{1988}	0.000	0.032	0.471	3.555	3.499	3.555
process[recruit_E].ycs_values{1989}	0.000	-0.040	0.455	1.030	0.960	1.030
process[recruit_E].ycs_values{1990}	0.000	-0.009	-0.101	-1.045	-1.021	-1.045
process[recruit_E].ycs_values{1991}	0.000	0.135	-0.307	0.872	1.077	0.872
process[recruit_E].ycs_values{1992}	0.000	0.260	-0.787	-0.087	0.450	-0.087
process[recruit_E].ycs_values{1993}	0.000	0.016	-0.831	-2.874	-2.474	-2.874
process[recruit_E].ycs_values{1994}	0.000	0.123	-0.879	0.850	1.296	0.850
process[recruit_E].ycs_values{1995}	0.000	-0.002	-0.843	-2.057	-1.667	-2.057
process[recruit_E].ycs_values{1996}	0.000	0.008	-0.695	-2.589	-2.291	-2.589
process[recruit_E].ycs_values{1997}	0.000	0.049	-0.496	-0.996	-0.633	-0.996
process[recruit_E].ycs_values{1998}	0.000	0.061	-0.170	0.381	0.540	0.381
process[recruit_E].ycs_values{1999}	0.000	0.000	0.000	-0.700	-0.827	-0.700
process[recruit_E].ycs_values{2000}	0.000	0.057	-0.449	-1.092	-0.856	-1.092
process[recruit_E].ycs_values{2001}	0.000	-0.007	-0.489	-2.547	-2.454	-2.547
process[recruit_E].ycs_values{2002}	0.000	0.191	-0.294	0.453	0.704	0.453
process[recruit_E].ycs_values{2003}	0.000	0.031	-0.159	-1.298	-1.194	-1.298
process[recruit_E].ycs_values{2004}	0.000	0.043	0.097	-0.731	-0.821	-0.731
process[recruit_E].ycs_values{2005}	0.000	0.021	-0.233	-1.781	-1.709	-1.781
process[recruit_E].ycs_values{2006}	0.000	0.046	-0.070	-1.230	-1.244	-1.230
process[recruit_E].ycs_values{2007}	0.000	0.014	-0.244	-3.651	-3.669	-3.651
process[recruit_E].ycs_values{2008}	0.000	0.184	-0.500	-1.239	-0.954	-1.239
process[recruit_E].ycs_values{2009}	0.000	0.007	0.206	-3.755	-3.862	-3.755
process[recruit_E].ycs_values{2010}	0.000	0.032	-1.074	-5.755	-5.219	-5.755
process[recruit_E].ycs_values{2011}	0.000	0.028	-0.017	-3.294	-3.225	-3.294
process[recruit_E].ycs_values{2012}	0.000	-0.030	-0.293	-4.256	-4.139	-4.256
process[recruit_E].ycs_values{2013}	0.000	0.002	-0.355	-4.424	-4.122	-4.424
process[recruit_E].ycs_values{2014}	0.000	0.049	-0.299	-5.737	-5.803	-5.737
process[recruit_E].ycs_values{2015}	0.000	0.470	2.231	10.661	9.920	10.661
process[recruit_E].ycs_values{2016}	0.000	-0.044	-0.529	-10.667	-10.915	-10.667
process[recruit_W].ycs_values{1975}	0.000	-0.007	0.365	-1.470	-2.996	-1.470
process[recruit_W].ycs_values{1976}	0.000	-0.013	-0.977	-7.730	-3.815	-7.730
process[recruit_W].ycs_values{1977}	0.000	0.030	2.210	-0.264	2.190	-0.264
process[recruit_W].ycs_values{1978}	0.000	0.048	2.312	3.437	2.647	3.437
process[recruit_W].ycs_values{1979}	0.000	0.067	1.517	1.586	1.190	1.586
process[recruit_W].ycs_values{1980}	0.000	0.023	1.061	0.547	-0.072	0.547
process[recruit_W].ycs_values{1981}	0.000	0.027	0.892	-0.059	-0.876	-0.059
process[recruit_W].ycs_values{1982}	0.000	0.047	0.284	-1.412	-1.781	-1.412
process[recruit_W].ycs_values{1983}	0.000	-0.076	0.133	-2.453	-2.848	-2.453
process[recruit_W].ycs_values{1984}	0.000	-0.125	-0.016	-3.335	-3.876	-3.335
process[recruit_W].ycs_values{1985}	0.000	-0.103	-0.257	-3.597	-4.084	-3.597
process[recruit_W].ycs_values{1986}	0.000	0.055	-0.021	-2.717	-2.526	-2.717
process[recruit_W].ycs_values{1987}	0.000	-0.039	0.305	-5.554	-5.156	-5.554
process[recruit_W].ycs_values{1988}	0.000	-0.099	0.229	-5.053	-4.613	-5.053
process[recruit_W].ycs_values{1989}	0.000	0.003	0.160	0.275	0.116	0.275
process[recruit_W].ycs_values{1990}	0.000	0.037	0.304	1.425	0.966	1.425
process[recruit_W].ycs_values{1991}	0.000	0.009	-0.093	4.120	4.274	4.120
process[recruit_W].ycs_values{1992}	0.000	-0.021	-0.017	1.550	1.299	1.550
process[recruit_W].ycs_values{1993}	0.000	0.011	-0.185	0.602	0.210	0.602
process[recruit_W].ycs_values{1994}	0.000	0.023	-0.377	-4.121	-4.056	-4.121
process[recruit_W].ycs_values{1995}	0.000	0.054	-0.392	-0.619	-0.742	-0.619
process[recruit_W].ycs_values{1996}	0.000	0.028	-0.440	5.003	4.710	5.003
process[recruit_W].ycs_values{1997}	0.000	-0.147	-0.644	1.158	0.419	1.158
process[recruit_W].ycs_values{1998}	0.000	-0.099	-1.251	-5.292	-5.432	-5.292
process[recruit_W].ycs_values{1999}	0.000	0.000	0.000	-0.575	-0.680	-0.575
process[recruit_W].ycs_values{2000}	0.000	-0.118	-0.581	-2.362	-2.589	-2.362
process[recruit_W].ycs_values{2001}	0.000	-0.037	-0.447	-1.720	-1.826	-1.720
process[recruit_W].ycs_values{2002}	0.000	-0.029	-0.007	-0.561	-0.778	-0.561
process[recruit_W].ycs_values{2003}	0.000	-0.039	0.114	-0.819	-1.166	-0.819
process[recruit_W].ycs_values{2004}	0.000	-0.045	0.190	-0.657	-1.001	-0.657
process[recruit_W].ycs_values{2005}	0.000	-0.017	0.350	-0.304	-0.691	-0.304
process[recruit_W].ycs_values{2006}	0.000	-0.015	-0.091	0.841	0.652	0.841
process[recruit_W].ycs_values{2007}	0.000	0.026	-0.312	3.093	3.035	3.093
process[recruit_W].ycs_values{2008}	0.000	-0.081	-0.198	1.601	1.507	1.601
process[recruit_W].ycs_values{2009}	0.000	0.024	-0.934	2.419	2.697	2.419
process[recruit_W].ycs_values{2010}	0.000	-0.055	0.483	3.742	3.200	3.742
process[recruit_W].ycs_values{2011}	0.000	0.041	-0.796	2.429	2.738	2.429
process[recruit_W].ycs_values{2012}	0.000	0.076	-0.674	2.205	2.491	2.205
process[recruit_W].ycs_values{2013}	0.000	0.052	-0.172	8.905	9.162	8.905
process[recruit_W].ycs_values{2014}	0.000	0.081	-0.460	4.622	4.798	4.622
process[recruit_W].ycs_values{2015}	0.000	-0.098	-0.208	0.782	0.771	0.782
process[recruit_W].ycs_values{2016}	0.000	-0.044	-0.530	-10.668	-10.915	-10.668
selectivity[sel_Whome].v{1}	0.000	0.177	-1.833	21.079	22.887	21.079
selectivity[sel_Whome].v{2}	0.000	0.370	-8.027	36.473	40.967	36.473
selectivity[sel_Whome].v{3}	0.000	0.430	-3.584	-23.439	-21.691	-23.439
selectivity[sel_Whome].v{4}	0.000	0.340	-4.687	-129.079	-130.028	-129.079
selectivity[sel_Whome].v{5}	0.000	1.401	-6.974	-28.325	-25.192	-28.325
selectivity[sel_Whome].v{6}	0.000	-1.511	-5.938	-18.332	-18.035	-18.332
selectivity[sel_Whome].v{7}	0.000	24.032	21.151	-0.009	-0.009	-0.009
selectivity[sel_Espmg].v{1}	0.000	0.080	-0.332	16.676	18.278	16.676
selectivity[sel_Espmg].v{2}	0.000	0.073	-0.683	11.501	12.917	11.501
selectivity[sel_Espmg].v{3}	0.000	0.078	-1.028	7.193	8.336	7.193
selectivity[sel_Espmg].v{4}	0.000	0.079	-1.354	3.138	4.045	3.138
selectivity[sel_Espmg].v{5}	0.000	0.069	-1.563	-0.283	0.369	-0.283
selectivity[sel_Espmg].v{6}	0.000	0.063	-1.436	-2.318	-1.976	-2.318
selectivity[sel_Espmg].v{7}	0.000	0.062	-1.389	-3.614	-3.620	-3.614
selectivity[sel_Espmg].v{8}	0.000	0.060	0.528	0.587	-0.022	0.587
selectivity[sel_Wspmg].v{1}	0.000	0.032	-0.553	-15.544	-14.795	-15.544
selectivity[sel_Wspmg].v{2}	0.000	-0.010	1.242	-27.254	-28.909	-27.254
selectivity[sel_Wspmg].v{3}	0.000	0.008	-0.029	-0.370	-0.038	-0.370
selectivity[sel_Wspmg].v{4}	0.000	0.017	0.004	2.061	2.453	2.061
selectivity[sel_Wspmg].v{5}	0.000	-0.026	-0.092	0.380	0.669	0.380
selectivity[sel_Wspmg].v{6}	0.000	0.186	-0.409	-1.786	-1.482	-1.786
selectivity[sel_Wspmg].v{7}	0.000	-0.449	-1.171	-3.344	-3.207	-3.344
selectivity[sel_Wspmg].v{8}	0.000	0.087	0.875	1.664	0.930	1.664
selectivity[Enspsl].mu	0.000	0.025	0.168	-4.781	-5.042	-4.781
selectivity[Enspsl].sigma_l	0.000	0.032	0.112	-8.346	-8.743	-8.346
selectivity[Enspsl].sigma_r	0.000	-0.001	68.572	78.360	77.153	78.360
selectivity[Wnspsl].mu	0.000	-0.021	-0.240	-169.987	-172.455	-169.987
selectivity[Wnspsl].sigma_l	0.000	-0.011	-2.203	-1673.389	-1665.128	-1673.389
selectivity[Wnspsl].sigma_r	0.000	-0.001	73.242	97.992	97.991	97.992
selectivity[Espsl].mu	0.000	0.018	3.357	6.713	5.591	6.713
selectivity[Espsl].sigma_l	0.000	0.074	-7.454	-359.482	-359.372	-359.482
selectivity[Espsl].sigma_r	0.000	-0.071	1.108	5.524	5.922	5.524
selectivity[CRsl].mu	0.000	0.000	0.000	-0.199	-0.235	-0.199
selectivity[CRsl].sigma_l	0.000	-0.002	1.071	-7.452	-7.447	-7.452
selectivity[CRsl].sigma_r	0.000	0.050	7.851	16.447	15.088	16.447
selectivity[SAsl].mu	0.000	0.024	4.144	12.251	2.456	12.251
selectivity[SAsl].sigma_l	0.000	0.021	-0.701	-22.288	-34.588	-22.288
selectivity[SAsl].sigma_r	0.000	0.000	-31.519	-104.148	-1.795	-104.148

CASAL objective function component values

Component	Base_Model	Sensitivity_1
CRsumbio	-31.030	-31.030
CSacous	-9.835	-9.836
SAautbio	-3.984	-3.984
SAsumbio	-6.146	-6.146
WCacous	-5.916	-5.916
CRsumage	323.800	323.800
SAautage	35.120	35.120
SAsumage	221.100	221.100
EnspOLF	24.280	24.280
Enspage	256.100	256.100
Espage	581.500	581.500
WnspOLF	70.250	70.250
Wnspage	157.000	157.000
Wspage	364.800	364.800
pspawn	-13.130	-13.130
pspawn_1993	-6.015	-6.015
prior_on_q[CSacous].q	-0.839	-0.839
prior_on_q[WCacous].q	-1.202	-1.202
prior_on_q[CRsum].q	-2.207	-2.207
prior_on_q[SAsum].q	-1.557	-1.557
prior_on_q[SAaut].q	-1.762	-1.762
prior_on_relative_abundance[CRsumbio].cv_process_error	0.000	0.000
prior_on_relative_abundance[SAsumbio].cv_process_error	0.000	0.000
prior_on_log_B0_total	0.000	0.000
prior_on_B0_prop_stock1	12.560	12.560
prior_on_natural_mortality.all	-1.217	-1.217
prior_on_selectivity[Wspsl].shift_a	0.378	0.378
prior_on_recruitment[E].YCS	-13.750	-13.750
prior_on_recruitment[W].YCS	-1.785	-1.785
prior_on_migration[Whome].rates_all	0.000	0.000
prior_on_migration[Espmg].rates_all	0.000	0.000
prior_on_migration[Wspmg].rates_all	0.000	0.000
prior_on_selectivity[Enspsl].all	0.000	0.000
prior_on_selectivity[Wnspsl].all	0.000	0.000
prior_on_selectivity[Espsl].all	0.000	0.000
prior_on_selectivity[CRsl].all	0.000	0.000
prior_on_selectivity[SAsl].all	0.000	0.000
Umax_Ensp1	0.000	0.000
Umax_Ensp2	0.000	0.000
Umax_Wnsp1	0.000	0.000
Umax_Wnsp2	0.000	0.000
Umax_Esp	0.000	0.000
Umax_Wsp	0.000	0.000
YCS.eq.16	0.000	0.000
sp.migr	0.013	0.013
Total	1947.000	1947.000

Casal2 objective function component values

rownames	betadiff_casal_flags_on	betadiff_casal_flags_off	betadiff_casal_flags_on_low_tol	adolc_casal_flags_on	adolc_casal_flags_off	adolc_casal_flags_on_low_tol
observation->CSacousbio-1991	2.342	2.344	2.404	2.387	2.366	2.387
observation->CSacousbio-1993	-0.577	-0.577	-0.588	-0.593	-0.589	-0.593
observation->CSacousbio-1994	-0.016	-0.016	-0.030	-0.048	-0.044	-0.048
observation->CSacousbio-1995	-0.562	-0.562	-0.567	-0.572	-0.572	-0.572
observation->CSacousbio-1996	-0.026	-0.027	0.013	0.072	0.062	0.072
observation->CSacousbio-1997	-0.912	-0.912	-0.899	-0.880	-0.885	-0.880
observation->CSacousbio-1998	-0.054	-0.055	-0.004	0.056	0.039	0.056
observation->CSacousbio-1999	-1.025	-1.025	-1.012	-0.992	-0.998	-0.992
observation->CSacousbio-2001	-1.217	-1.217	-1.211	-1.203	-1.206	-1.203
observation->CSacousbio-2002	-0.297	-0.297	-0.338	-0.409	-0.397	-0.409
observation->CSacousbio-2003	-0.845	-0.845	-0.863	-0.897	-0.891	-0.897
observation->CSacousbio-2005	-0.929	-0.929	-0.927	-0.916	-0.918	-0.916
observation->CSacousbio-2006	-0.939	-0.939	-0.950	-0.971	-0.970	-0.971
observation->CSacousbio-2007	-0.623	-0.623	-0.600	-0.542	-0.546	-0.542
observation->CSacousbio-2008	-1.094	-1.094	-1.125	-1.181	-1.177	-1.181
observation->CSacousbio-2009	-0.185	-0.186	-0.110	0.072	0.052	0.072
observation->CSacousbio-2011	-1.021	-1.021	-1.000	-0.956	-0.964	-0.956
observation->CSacousbio-2013	-0.892	-0.892	-0.855	-0.826	-0.843	-0.826
observation->CSacousbio-2015	-0.190	-0.191	-0.150	-0.177	-0.198	-0.177
observation->CSacousbio-2017	-1.020	-1.020	-1.021	-0.990	-0.987	-0.990
observation->WCacousbio-1988	-0.588	-0.588	-0.588	-0.589	-0.589	-0.589
observation->WCacousbio-1989	-0.183	-0.184	-0.168	-0.064	-0.078	-0.064
observation->WCacousbio-1990	-0.332	-0.331	-0.327	-0.258	-0.270	-0.258
observation->WCacousbio-1991	-0.425	-0.425	-0.425	-0.425	-0.425	-0.425
observation->WCacousbio-1992	-0.744	-0.744	-0.744	-0.727	-0.729	-0.727
observation->WCacousbio-1993	-0.369	-0.371	-0.374	-0.496	-0.485	-0.496
observation->WCacousbio-1997	-0.054	-0.055	-0.043	-0.012	-0.008	-0.012
observation->WCacousbio-2000	-1.265	-1.264	-1.272	-1.279	-1.277	-1.279
observation->WCacousbio-2012	-0.906	-0.906	-0.896	-0.792	-0.799	-0.792
observation->WCacousbio-2013	-1.079	-1.079	-1.079	-1.066	-1.067	-1.066
observation->CRsumbio-1992	-1.634	-1.634	-1.647	-1.535	-1.532	-1.535
observation->CRsumbio-1993	0.040	0.041	0.043	0.376	0.394	0.376
observation->CRsumbio-1994	-1.760	-1.761	-1.760	-1.726	-1.722	-1.726
observation->CRsumbio-1995	-1.425	-1.431	-1.406	-1.328	-1.341	-1.328
observation->CRsumbio-1996	-1.690	-1.691	-1.699	-1.708	-1.705	-1.708
observation->CRsumbio-1997	-0.607	-0.609	-0.635	-0.824	-0.822	-0.824
observation->CRsumbio-1998	-1.203	-1.205	-1.210	-1.065	-1.059	-1.065
observation->CRsumbio-1999	-0.953	-0.950	-0.919	-0.804	-0.822	-0.804
observation->CRsumbio-2000	-1.629	-1.629	-1.632	-1.635	-1.633	-1.635
observation->CRsumbio-2001	-1.773	-1.773	-1.775	-1.730	-1.728	-1.730
observation->CRsumbio-2002	-1.209	-1.205	-1.206	-1.099	-1.098	-1.099
observation->CRsumbio-2003	-1.749	-1.748	-1.744	-1.725	-1.724	-1.725
observation->CRsumbio-2004	-0.818	-0.821	-0.803	-0.845	-0.853	-0.845
observation->CRsumbio-2005	-1.471	-1.470	-1.477	-1.460	-1.458	-1.460
observation->CRsumbio-2006	-1.314	-1.314	-1.306	-1.447	-1.452	-1.447
observation->CRsumbio-2007	-0.727	-0.726	-0.756	-0.665	-0.644	-0.665
observation->CRsumbio-2008	-0.373	-0.376	-0.402	-0.451	-0.438	-0.451
observation->CRsumbio-2009	-0.586	-0.587	-0.559	-0.599	-0.615	-0.599
observation->CRsumbio-2010	-1.349	-1.350	-1.359	-1.319	-1.314	-1.319
observation->CRsumbio-2011	-1.096	-1.094	-1.105	-1.100	-1.094	-1.100
observation->CRsumbio-2012	-1.439	-1.438	-1.448	-1.376	-1.368	-1.376
observation->CRsumbio-2013	-1.494	-1.494	-1.491	-1.433	-1.433	-1.433
observation->CRsumbio-2014	-1.768	-1.768	-1.770	-1.726	-1.724	-1.726
observation->CRsumbio-2016	-1.410	-1.411	-1.411	-1.286	-1.280	-1.286
observation->CRsumbio-2018	-1.552	-1.552	-1.554	-1.488	-1.486	-1.488
observation->SAsumbio-1992	-0.597	-0.596	-0.588	-0.695	-0.692	-0.695
observation->SAsumbio-1993	-0.314	-0.314	-0.309	-0.488	-0.476	-0.488
observation->SAsumbio-1994	0.196	0.194	0.186	-0.001	0.028	-0.001
observation->SAsumbio-2001	-0.835	-0.834	-0.822	-0.869	-0.866	-0.869
observation->SAsumbio-2002	-0.794	-0.794	-0.777	-0.818	-0.823	-0.818
observation->SAsumbio-2003	-0.837	-0.836	-0.825	-0.858	-0.867	-0.858
observation->SAsumbio-2004	0.732	0.735	0.734	0.762	0.749	0.762
observation->SAsumbio-2005	-0.258	-0.255	-0.218	-0.184	-0.227	-0.184
observation->SAsumbio-2006	-0.600	-0.598	-0.558	-0.602	-0.616	-0.602
observation->SAsumbio-2007	0.636	0.637	0.654	0.747	0.810	0.747
observation->SAsumbio-2008	-0.461	-0.463	-0.462	-0.497	-0.519	-0.497
observation->SAsumbio-2009	-0.585	-0.584	-0.583	-0.636	-0.639	-0.636
observation->SAsumbio-2010	-0.143	-0.146	-0.147	-0.152	-0.154	-0.152
observation->SAsumbio-2012	-0.848	-0.848	-0.835	-0.876	-0.880	-0.876
observation->SAsumbio-2013	-0.797	-0.796	-0.786	-0.824	-0.820	-0.824
observation->SAsumbio-2015	-0.200	-0.201	-0.189	-0.254	-0.280	-0.254
observation->SAsumbio-2017	-0.638	-0.638	-0.620	-0.693	-0.701	-0.693
observation->SAautbio-1992	-1.459	-1.460	-1.450	-1.356	-1.357	-1.356
observation->SAautbio-1996	-1.233	-1.232	-1.250	-1.271	-1.256	-1.271
observation->SAautbio-1998	-1.308	-1.306	-1.284	-1.279	-1.287	-1.279
observation->Espage-1988	19.793	19.790	19.640	19.467	19.507	19.467
observation->Espage-1989	15.858	15.857	15.862	15.870	15.865	15.870
observation->Espage-1990	21.488	21.486	21.446	21.379	21.382	21.379
observation->Espage-1991	20.641	20.640	20.612	20.516	20.521	20.516
observation->Espage-1992	24.089	24.092	24.020	23.899	23.918	23.899
observation->Espage-1993	19.305	19.304	19.328	19.459	19.449	19.459
observation->Espage-1994	20.528	20.522	20.503	20.449	20.452	20.449
observation->Espage-1995	22.541	22.530	22.559	22.538	22.526	22.538
observation->Espage-1996	18.590	18.590	18.577	18.571	18.574	18.571
observation->Espage-1997	20.974	20.978	20.964	20.877	20.875	20.877
observation->Espage-1998	20.587	20.579	20.611	20.541	20.532	20.541
observation->Espage-1999	22.886	22.875	22.862	22.668	22.671	22.668
observation->Espage-2000	23.321	23.321	23.314	23.408	23.422	23.408
observation->Espage-2001	20.735	20.735	20.773	20.805	20.800	20.805
observation->Espage-2002	26.248	26.243	26.287	26.208	26.188	26.208
observation->Espage-2003	19.120	19.118	19.120	19.078	19.080	19.078
observation->Espage-2004	22.692	22.698	22.642	22.586	22.583	22.586
observation->Espage-2005	26.122	26.120	26.070	25.971	25.959	25.971
observation->Espage-2006	23.242	23.245	23.149	23.067	23.097	23.067
observation->Espage-2007	25.274	25.277	25.210	25.155	25.157	25.155
observation->Espage-2008	22.167	22.166	22.129	22.083	22.089	22.083
observation->Espage-2009	18.691	18.691	18.690	18.676	18.674	18.676
observation->Espage-2010	21.855	21.856	21.851	21.786	21.785	21.786
observation->Espage-2014	20.616	20.614	20.648	20.624	20.607	20.624
observation->Espage-2015	21.823	21.820	21.870	21.920	21.907	21.920
observation->Espage-2016	21.204	21.203	21.204	21.208	21.209	21.208
observation->Espage-2017	21.575	21.578	21.563	21.581	21.584	21.581
observation->Wspage-1988	15.724	15.729	15.753	16.102	16.221	16.102
observation->Wspage-1989	11.555	11.558	11.566	11.695	11.715	11.695
observation->Wspage-1990	11.752	11.750	11.790	12.129	12.123	12.129
observation->Wspage-1991	13.036	13.037	13.051	13.278	13.255	13.278
observation->Wspage-1992	10.178	10.179	10.170	10.169	10.162	10.169
observation->Wspage-1993	10.569	10.571	10.579	10.491	10.498	10.491
observation->Wspage-1994	9.918	9.918	9.924	9.842	9.845	9.842
observation->Wspage-1995	13.403	13.399	13.396	13.427	13.425	13.427
observation->Wspage-1996	11.840	11.841	11.844	11.947	11.935	11.947
observation->Wspage-1997	11.230	11.233	11.243	11.385	11.378	11.385
observation->Wspage-1998	11.761	11.761	11.762	11.785	11.788	11.785
observation->Wspage-1999	11.975	11.976	11.981	12.142	12.139	12.142
observation->Wspage-2000	11.256	11.256	11.260	11.381	11.379	11.381
observation->Wspage-2001	12.179	12.181	12.201	12.291	12.280	12.291
observation->Wspage-2002	9.731	9.732	9.745	9.804	9.800	9.804
observation->Wspage-2003	9.555	9.555	9.556	9.586	9.588	9.586
observation->Wspage-2004	14.340	14.342	14.304	14.271	14.284	14.271
observation->Wspage-2005	14.932	14.934	14.977	15.121	15.125	15.121
observation->Wspage-2006	13.817	13.817	13.872	14.088	14.103	14.088
observation->Wspage-2007	11.498	11.500	11.516	11.530	11.531	11.530
observation->Wspage-2008	12.195	12.196	12.194	12.011	11.988	12.011
observation->Wspage-2009	12.631	12.635	12.594	12.242	12.209	12.242
observation->Wspage-2010	11.316	11.317	11.299	11.220	11.209	11.220
observation->Wspage-2011	11.154	11.155	11.137	11.093	11.091	11.093
observation->Wspage-2012	11.867	11.866	11.860	11.851	11.847	11.851
observation->Wspage-2013	11.041	11.043	11.065	11.081	11.070	11.081
observation->Wspage-2014	12.944	12.944	12.941	12.937	12.936	12.937
observation->Wspage-2015	13.134	13.136	13.101	13.009	13.012	13.009
observation->Wspage-2016	14.272	14.268	14.273	14.324	14.331	14.324
observation->Wspage-2017	13.745	13.746	13.797	14.070	14.065	14.070
observation->EnspOLF-1992	4.397	4.396	4.388	4.303	4.295	4.303
observation->EnspOLF-1994	6.647	6.645	6.678	6.645	6.645	6.645
observation->EnspOLF-1996	7.897	7.899	7.906	7.760	7.746	7.760
observation->EnspOLF-1998	5.301	5.301	5.303	5.205	5.205	5.205
observation->Enspage-1999	14.332	14.331	14.287	14.428	14.455	14.428
observation->Enspage-2000	13.975	13.973	13.960	14.044	14.049	14.044
observation->Enspage-2001	13.979	13.959	13.929	13.860	13.865	13.860
observation->Enspage-2002	12.081	12.087	12.078	12.008	12.001	12.008
observation->Enspage-2003	9.700	9.702	9.706	9.721	9.722	9.721
observation->Enspage-2004	12.966	12.972	12.986	12.793	12.793	12.793
observation->Enspage-2005	11.012	11.009	11.009	10.956	10.964	10.956
observation->Enspage-2006	12.741	12.744	12.712	12.878	12.889	12.878
observation->Enspage-2007	11.061	11.060	11.052	11.112	11.107	11.112
observation->Enspage-2008	12.104	12.100	12.101	12.194	12.190	12.194
observation->Enspage-2009	10.056	10.055	10.055	10.043	10.051	10.043
observation->Enspage-2010	17.581	17.576	17.627	17.534	17.539	17.534
observation->Enspage-2011	13.399	13.402	13.412	13.324	13.312	13.324
observation->Enspage-2012	13.149	13.148	13.134	13.023	13.012	13.023
observation->Enspage-2013	16.694	16.691	16.659	16.738	16.734	16.738
observation->Enspage-2014	13.869	13.868	13.870	13.898	13.914	13.898
observation->Enspage-2015	12.760	12.764	12.776	12.803	12.792	12.803
observation->Enspage-2016	19.224	19.222	19.203	19.276	19.303	19.276
observation->Enspage-2017	15.562	15.552	15.511	15.570	15.597	15.570
observation->WnspOLF-1992	10.122	10.124	10.129	11.389	11.330	11.389
observation->WnspOLF-1993	9.045	9.047	8.991	9.969	9.952	9.969
observation->WnspOLF-1994	15.930	15.931	15.893	19.185	19.111	19.185
observation->WnspOLF-1996	9.788	9.784	9.752	8.988	8.931	8.988
observation->WnspOLF-1999	11.553	11.553	11.593	10.813	10.867	10.813
observation->WnspOLF-2000	13.812	13.817	13.892	14.037	14.079	14.037
observation->Wnspage-2001	8.032	8.036	7.994	8.356	8.344	8.356
observation->Wnspage-2002	8.715	8.714	8.701	8.580	8.601	8.580
observation->Wnspage-2003	10.473	10.473	10.507	10.572	10.612	10.572
observation->Wnspage-2004	7.155	7.154	7.140	7.046	7.064	7.046
observation->Wnspage-2006	9.589	9.590	9.551	10.045	9.995	10.045
observation->Wnspage-2007	10.861	10.860	10.822	11.414	11.400	11.414
observation->Wnspage-2008	12.425	12.422	12.435	12.944	12.944	12.944
observation->Wnspage-2009	14.716	14.719	14.790	14.123	14.160	14.123
observation->Wnspage-2010	11.405	11.405	11.370	11.468	11.467	11.468
observation->Wnspage-2011	11.267	11.265	11.275	11.096	11.095	11.096
observation->Wnspage-2012	10.454	10.453	10.465	10.789	10.779	10.789
observation->Wnspage-2013	13.633	13.634	13.634	13.710	13.688	13.710
observation->Wnspage-2014	12.608	12.609	12.597	11.228	11.240	11.228
observation->Wnspage-2016	15.687	15.683	15.722	14.861	14.887	14.861
observation->CRsumage-1992	15.584	15.570	15.566	14.743	14.734	14.743
observation->CRsumage-1993	10.616	10.613	10.624	10.560	10.552	10.560
observation->CRsumage-1994	18.170	18.174	18.130	17.550	17.549	17.550
observation->CRsumage-1995	14.285	14.287	14.242	13.645	13.652	13.645
observation->CRsumage-1996	11.567	11.566	11.607	11.103	11.092	11.103
observation->CRsumage-1997	15.754	15.750	15.688	15.391	15.412	15.391
observation->CRsumage-1998	14.690	14.686	14.690	13.370	13.348	13.370
observation->CRsumage-1999	12.061	12.061	12.084	12.389	12.382	12.389
observation->CRsumage-2000	14.323	14.326	14.283	14.692	14.729	14.692
observation->CRsumage-2001	19.659	19.651	19.520	18.887	18.916	18.887
observation->CRsumage-2002	10.969	10.971	10.960	11.021	11.022	11.021
observation->CRsumage-2003	11.251	11.254	11.210	11.148	11.165	11.148
observation->CRsumage-2004	9.553	9.556	9.561	9.114	9.097	9.114
observation->CRsumage-2005	12.753	12.749	12.654	12.371	12.407	12.371
observation->CRsumage-2006	10.316	10.317	10.317	11.081	11.112	11.081
observation->CRsumage-2007	13.562	13.561	13.504	13.093	13.094	13.093
observation->CRsumage-2008	11.661	11.665	11.639	11.736	11.752	11.736
observation->CRsumage-2009	12.006	12.002	11.965	11.992	12.016	11.992
observation->CRsumage-2010	11.048	11.052	11.055	11.664	11.691	11.664
observation->CRsumage-2011	12.579	12.577	12.571	13.656	13.712	13.656
observation->CRsumage-2012	17.228	17.230	17.141	16.226	16.262	16.226
observation->CRsumage-2013	11.843	11.845	11.822	12.725	12.785	12.725
observation->CRsumage-2014	11.286	11.288	11.271	11.411	11.425	11.411
observation->CRsumage-2016	9.866	9.867	9.847	10.361	10.401	10.361
observation->CRsumage-2018	11.931	11.935	11.895	12.546	12.583	12.546
observation->SAsumage-1992	12.246	12.241	12.269	12.083	12.131	12.083
observation->SAsumage-1993	12.470	12.483	12.502	12.724	12.755	12.724
observation->SAsumage-1994	10.811	10.808	10.818	10.914	10.928	10.914
observation->SAsumage-2001	12.749	12.762	12.839	12.964	13.001	12.964
observation->SAsumage-2002	12.209	12.216	12.254	12.339	12.442	12.339
observation->SAsumage-2003	13.386	13.388	13.386	13.463	13.613	13.463
observation->SAsumage-2004	11.067	11.064	11.005	11.066	11.103	11.066
observation->SAsumage-2005	15.278	15.280	15.386	15.839	15.769	15.839
observation->SAsumage-2006	14.112	14.110	14.078	14.295	14.236	14.295
observation->SAsumage-2007	10.649	10.649	10.639	10.667	10.766	10.667
observation->SAsumage-2008	13.771	13.766	13.836	14.101	13.934	14.101
observation->SAsumage-2009	15.513	15.520	15.530	15.818	15.739	15.818
observation->SAsumage-2010	15.081	15.082	15.130	15.667	15.574	15.667
observation->SAsumage-2012	13.437	13.439	13.479	13.405	13.412	13.405
observation->SAsumage-2013	11.954	11.956	11.982	12.021	12.023	12.021
observation->SAsumage-2015	13.522	13.524	13.540	14.059	14.068	14.059
observation->SAsumage-2017	12.492	12.487	12.478	12.560	12.567	12.560
observation->SAautage-1992	11.809	11.819	11.857	12.184	12.219	12.184
observation->SAautage-1996	10.449	10.450	10.426	10.583	10.568	10.583
observation->SAautage-1998	12.809	12.810	12.835	12.867	12.902	12.867
observation->pspawn_1993	-6.017	-6.016	-6.015	-5.898	-5.880	-5.898
observation->pspawn-1992	-4.848	-4.852	-4.829	-4.743	-4.800	-4.743
observation->pspawn-1998	-8.284	-8.291	-8.300	-8.249	-8.225	-8.249
prior->CSacousq->catchability[CSacous].q	-0.849	-0.847	-0.839	-0.821	-0.822	-0.821
prior->WCacousq->catchability[WCacous].q	-1.162	-1.163	-1.202	-1.282	-1.267	-1.282
prior->CRsumq->catchability[CRsum].q	-2.155	-2.153	-2.207	-2.237	-2.228	-2.237
prior->SAsumq->catchability[SAsum].q	-1.762	-1.760	-1.557	-0.874	-1.035	-0.874
prior->SAautq->catchability[SAaut].q	-1.913	-1.911	-1.762	-1.081	-1.229	-1.081
prior->CR_process_error->observation[CRsumbio].process_error	0.000	0.000	0.000	0.000	0.000	0.000
prior->SA_process_error->observation[SAsumbio].process_error	0.000	0.000	0.000	0.000	0.000	0.000
prior->B0_E_with_total_log_b0_prior->process[recruit_E].b0	0.000	0.000	0.000	0.000	0.000	0.000
prior->B0_W_with_proportion_prior->process[recruit_W].b0	12.544	12.545	12.555	12.612	12.597	12.612
prior->M_all->process[Instant_mortality].m{west.sa}	-1.085	-1.083	-1.217	-1.103	-1.160	-1.103
prior->Wspsl_shift_param->time_varying[shifted_mu].a	0.420	0.422	0.378	0.253	0.234	0.253
prior->YCS_E->process[recruit_E].ycs_values{1975}	-0.624	-0.624	-0.623	-0.626	-0.625	-0.626
prior->YCS_E->process[recruit_E].ycs_values{1976}	-0.316	-0.314	-0.319	-0.349	-0.346	-0.349
prior->YCS_E->process[recruit_E].ycs_values{1977}	-0.227	-0.225	-0.238	-0.278	-0.274	-0.278
prior->YCS_E->process[recruit_E].ycs_values{1978}	0.654	0.656	0.615	0.517	0.537	0.517
prior->YCS_E->process[recruit_E].ycs_values{1979}	0.084	0.086	0.062	0.002	0.013	0.002
prior->YCS_E->process[recruit_E].ycs_values{1980}	-0.630	-0.630	-0.627	-0.617	-0.618	-0.617
prior->YCS_E->process[recruit_E].ycs_values{1981}	-0.619	-0.619	-0.623	-0.632	-0.631	-0.632
prior->YCS_E->process[recruit_E].ycs_values{1982}	-0.550	-0.551	-0.542	-0.520	-0.523	-0.520
prior->YCS_E->process[recruit_E].ycs_values{1983}	-0.627	-0.627	-0.630	-0.636	-0.635	-0.636
prior->YCS_E->process[recruit_E].ycs_values{1984}	-0.591	-0.591	-0.596	-0.606	-0.605	-0.606
prior->YCS_E->process[recruit_E].ycs_values{1985}	-0.641	-0.641	-0.642	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1986}	-0.408	-0.408	-0.400	-0.383	-0.386	-0.383
prior->YCS_E->process[recruit_E].ycs_values{1987}	0.142	0.142	0.135	0.103	0.104	0.103
prior->YCS_E->process[recruit_E].ycs_values{1988}	0.026	0.025	0.019	-0.026	-0.025	-0.026
prior->YCS_E->process[recruit_E].ycs_values{1989}	-0.631	-0.631	-0.632	-0.633	-0.633	-0.633
prior->YCS_E->process[recruit_E].ycs_values{1990}	0.159	0.159	0.158	0.143	0.143	0.143
prior->YCS_E->process[recruit_E].ycs_values{1991}	-0.643	-0.643	-0.643	-0.643	-0.642	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1992}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1993}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{1994}	-0.530	-0.531	-0.525	-0.535	-0.538	-0.535
prior->YCS_E->process[recruit_E].ycs_values{1995}	-0.534	-0.534	-0.538	-0.545	-0.543	-0.545
prior->YCS_E->process[recruit_E].ycs_values{1996}	-0.574	-0.573	-0.577	-0.585	-0.584	-0.585
prior->YCS_E->process[recruit_E].ycs_values{1997}	-0.623	-0.623	-0.622	-0.620	-0.621	-0.620
prior->YCS_E->process[recruit_E].ycs_values{1998}	-0.512	-0.511	-0.513	-0.509	-0.508	-0.509
prior->YCS_E->process[recruit_E].ycs_values{1999}	2.014	2.014	2.014	1.994	1.990	1.994
prior->YCS_E->process[recruit_E].ycs_values{2000}	-0.616	-0.616	-0.614	-0.612	-0.613	-0.612
prior->YCS_E->process[recruit_E].ycs_values{2001}	-0.065	-0.065	-0.071	-0.098	-0.097	-0.098
prior->YCS_E->process[recruit_E].ycs_values{2002}	-0.543	-0.542	-0.545	-0.540	-0.539	-0.540
prior->YCS_E->process[recruit_E].ycs_values{2003}	-0.586	-0.586	-0.585	-0.581	-0.581	-0.581
prior->YCS_E->process[recruit_E].ycs_values{2004}	-0.568	-0.568	-0.568	-0.564	-0.564	-0.564
prior->YCS_E->process[recruit_E].ycs_values{2005}	-0.579	-0.579	-0.578	-0.571	-0.571	-0.571
prior->YCS_E->process[recruit_E].ycs_values{2006}	-0.483	-0.483	-0.482	-0.474	-0.474	-0.474
prior->YCS_E->process[recruit_E].ycs_values{2007}	-0.567	-0.567	-0.566	-0.549	-0.549	-0.549
prior->YCS_E->process[recruit_E].ycs_values{2008}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_E->process[recruit_E].ycs_values{2009}	-0.561	-0.561	-0.562	-0.541	-0.540	-0.541
prior->YCS_E->process[recruit_E].ycs_values{2010}	-0.031	-0.031	-0.046	-0.106	-0.100	-0.106
prior->YCS_E->process[recruit_E].ycs_values{2011}	-0.408	-0.408	-0.408	-0.380	-0.380	-0.380
prior->YCS_E->process[recruit_E].ycs_values{2012}	-0.019	-0.019	-0.023	-0.076	-0.074	-0.076
prior->YCS_E->process[recruit_E].ycs_values{2013}	-0.238	-0.238	-0.242	-0.285	-0.282	-0.285
prior->YCS_E->process[recruit_E].ycs_values{2014}	-0.317	-0.317	-0.314	-0.258	-0.258	-0.258
prior->YCS_E->process[recruit_E].ycs_values{2015}	-0.279	-0.284	-0.302	-0.389	-0.381	-0.389
prior->YCS_E->process[recruit_E].ycs_values{2016}	0.363	0.364	0.373	0.550	0.555	0.550
prior->YCS_W->process[recruit_W].ycs_values{1975}	-0.616	-0.616	-0.617	-0.612	-0.607	-0.612
prior->YCS_W->process[recruit_W].ycs_values{1976}	-0.195	-0.195	-0.184	-0.103	-0.150	-0.103
prior->YCS_W->process[recruit_W].ycs_values{1977}	-0.376	-0.376	-0.396	-0.373	-0.395	-0.373
prior->YCS_W->process[recruit_W].ycs_values{1978}	-0.396	-0.397	-0.417	-0.426	-0.419	-0.426
prior->YCS_W->process[recruit_W].ycs_values{1979}	-0.607	-0.607	-0.612	-0.612	-0.611	-0.612
prior->YCS_W->process[recruit_W].ycs_values{1980}	-0.567	-0.568	-0.573	-0.570	-0.567	-0.570
prior->YCS_W->process[recruit_W].ycs_values{1981}	-0.502	-0.502	-0.508	-0.502	-0.496	-0.502
prior->YCS_W->process[recruit_W].ycs_values{1982}	-0.606	-0.606	-0.607	-0.601	-0.599	-0.601
prior->YCS_W->process[recruit_W].ycs_values{1983}	-0.109	-0.108	-0.111	-0.077	-0.072	-0.077
prior->YCS_W->process[recruit_W].ycs_values{1984}	-0.163	-0.161	-0.163	-0.122	-0.115	-0.122
prior->YCS_W->process[recruit_W].ycs_values{1985}	-0.619	-0.619	-0.620	-0.628	-0.629	-0.628
prior->YCS_W->process[recruit_W].ycs_values{1986}	-0.098	-0.097	-0.098	-0.132	-0.130	-0.132
prior->YCS_W->process[recruit_W].ycs_values{1987}	0.788	0.789	0.782	0.904	0.896	0.904
prior->YCS_W->process[recruit_W].ycs_values{1988}	-0.252	-0.251	-0.255	-0.196	-0.201	-0.196
prior->YCS_W->process[recruit_W].ycs_values{1989}	1.207	1.207	1.211	1.214	1.210	1.214
prior->YCS_W->process[recruit_W].ycs_values{1990}	1.197	1.198	1.204	1.231	1.220	1.231
prior->YCS_W->process[recruit_W].ycs_values{1991}	-0.081	-0.081	-0.080	-0.135	-0.137	-0.135
prior->YCS_W->process[recruit_W].ycs_values{1992}	0.480	0.480	0.480	0.451	0.455	0.451
prior->YCS_W->process[recruit_W].ycs_values{1993}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_W->process[recruit_W].ycs_values{1994}	0.014	0.014	0.020	0.073	0.072	0.073
prior->YCS_W->process[recruit_W].ycs_values{1995}	-0.410	-0.409	-0.413	-0.415	-0.416	-0.415
prior->YCS_W->process[recruit_W].ycs_values{1996}	-0.301	-0.301	-0.306	-0.246	-0.250	-0.246
prior->YCS_W->process[recruit_W].ycs_values{1997}	-0.466	-0.467	-0.471	-0.457	-0.463	-0.457
prior->YCS_W->process[recruit_W].ycs_values{1998}	-0.322	-0.323	-0.334	-0.372	-0.373	-0.372
prior->YCS_W->process[recruit_W].ycs_values{1999}	2.014	2.014	2.014	1.997	1.994	1.997
prior->YCS_W->process[recruit_W].ycs_values{2000}	-0.643	-0.643	-0.643	-0.643	-0.643	-0.643
prior->YCS_W->process[recruit_W].ycs_values{2001}	0.856	0.855	0.846	0.819	0.817	0.819
prior->YCS_W->process[recruit_W].ycs_values{2002}	-0.222	-0.222	-0.222	-0.216	-0.213	-0.216
prior->YCS_W->process[recruit_W].ycs_values{2003}	-0.612	-0.612	-0.612	-0.609	-0.608	-0.609
prior->YCS_W->process[recruit_W].ycs_values{2004}	-0.570	-0.570	-0.571	-0.567	-0.565	-0.567
prior->YCS_W->process[recruit_W].ycs_values{2005}	-0.574	-0.574	-0.576	-0.573	-0.571	-0.573
prior->YCS_W->process[recruit_W].ycs_values{2006}	-0.280	-0.280	-0.279	-0.289	-0.287	-0.289
prior->YCS_W->process[recruit_W].ycs_values{2007}	-0.438	-0.438	-0.436	-0.462	-0.462	-0.462
prior->YCS_W->process[recruit_W].ycs_values{2008}	-0.464	-0.464	-0.463	-0.476	-0.475	-0.476
prior->YCS_W->process[recruit_W].ycs_values{2009}	-0.514	-0.514	-0.508	-0.529	-0.531	-0.529
prior->YCS_W->process[recruit_W].ycs_values{2010}	0.071	0.070	0.078	0.129	0.120	0.129
prior->YCS_W->process[recruit_W].ycs_values{2011}	0.031	0.030	0.043	-0.004	-0.009	-0.004
prior->YCS_W->process[recruit_W].ycs_values{2012}	-0.050	-0.049	-0.059	-0.019	-0.015	-0.019
prior->YCS_W->process[recruit_W].ycs_values{2013}	-0.489	-0.488	-0.490	-0.417	-0.415	-0.417
prior->YCS_W->process[recruit_W].ycs_values{2014}	1.730	1.727	1.742	1.603	1.598	1.603
prior->YCS_W->process[recruit_W].ycs_values{2015}	1.681	1.684	1.687	1.660	1.660	1.660
prior->YCS_W->process[recruit_W].ycs_values{2016}	0.363	0.364	0.373	0.551	0.555	0.551
prior->sel_Whome->selectivity[sel_Whome].v{1}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{2}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{3}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{4}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{5}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{6}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Whome->selectivity[sel_Whome].v{7}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{1}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{2}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{3}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{4}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{5}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{6}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{7}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Espmg_male->selectivity[sel_Espmg].v{8}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{1}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{2}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{3}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{4}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{5}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{6}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{7}	0.000	0.000	0.000	0.000	0.000	0.000
prior->sel_Wspmg_male->selectivity[sel_Wspmg].v{8}	0.000	0.000	0.000	0.000	0.000	0.000
prior->Enspsl_mu->selectivity[Enspsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->Enspsl_s_l->selectivity[Enspsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->Enspsl_s_r->selectivity[Enspsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
prior->Wnspsl_mu->selectivity[Wnspsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->Wnspsl_s_l->selectivity[Wnspsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->Wnspsl_s_r->selectivity[Wnspsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
prior->Espsl_mu->selectivity[Espsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->Espsl_s_l->selectivity[Espsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->Espsl_s_r->selectivity[Espsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
prior->CRsl_mu->selectivity[CRsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->CRsl_s_l->selectivity[CRsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->CRsl_s_r->selectivity[CRsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
prior->SAsl_mu->selectivity[SAsl].mu	0.000	0.000	0.000	0.000	0.000	0.000
prior->SAsl_s_l->selectivity[SAsl].sigma_l	0.000	0.000	0.000	0.000	0.000	0.000
prior->SAsl_s_r->selectivity[SAsl].sigma_r	0.000	0.000	0.000	0.000	0.000	0.000
additional_prior->YCS.eq.16	0.000	0.000	0.000	0.000	0.000	0.000
additional_prior->sp.migr	0.009	0.009	0.013	0.025	0.023	0.025
jacobian->log_sum_b0	0.000	0.000	0.000	0.000	0.000	0.000
total_negloglike	1946.810	1946.800	1946.540	1954.580	1954.670	1954.580
total_score	1946.810	1946.800	1946.540	1954.580	1954.670	1954.580

## [1] "CASAL base model convergence information"
## [1] "fmm: have converged: t = 8.24015e-007 f = 1946.54"                                                        
## [2] "Successful convergence in optimise"                                                                       
## [3] "Minimiser achieved convergence after 599 quasi-Newton iterations using 669 objective function evaluations"
## [1] ""
## [1] "CASAL sensitivity 1 model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [3] "Minimiser achieved convergence after 665 quasi-Newton iterations using 765 objective function evaluations"               
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model convergence information"
## [1] "fmm: have converged: t = 6.55824e-07 f = 1946.81"
## [2] "Successful convergence in optimise"              
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model convergence information"
## [1] "fmm: have converged: t = 5.37067e-07 f = 1946.8"
## [2] "Successful convergence in optimise"             
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model convergence information"
## [1] "fmm: step size too small. Indicates successful convergence (though this is not the textbook ideal convergence situation)"
## [2] "Successful convergence in optimise"                                                                                      
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model convergence information"
## [1] "[IMPORTANT] FMM: Max newton steps (5)"
## [2] "FMM: Max newton steps (5)"            
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model convergence information"
## [1] "[IMPORTANT] FMM: Max newton steps (5)"
## [2] "FMM: Max newton steps (5)"            
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model convergence information"
## [1] "[IMPORTANT] FMM: Max newton steps (5)"
## [2] "FMM: Max newton steps (5)"

## [1] "CASAL model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "CASAL sensitivity 1 model warnings"
##                  parameter estimate lower.bound upper.bound
## 1   recruitment[E].YCS[25]     0.06        0.06         8.6
## 2   recruitment[W].YCS[25]     0.06        0.06         8.6
## 3 selectivity[CRsl].all[1]        1           1          17
## 4 selectivity[CRsl].all[2]        1           1          50
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [8] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [9] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [10] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [11] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
## [12] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
## [13] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [14] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [15] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [16] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [17] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [18] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [19] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 betadiff_casal_flags_off model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [7] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
##  [8] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
##  [9] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [10] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
## [11] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
## [12] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [13] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [14] "estimated parameter 'selectivity[Enspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [15] "estimated parameter 'selectivity[Wnspsl].sigma_r' was within 0.001 of upper bound 50"                         
## [16] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [17] "estimated parameter 'selectivity[SAsl].sigma_r' was within 0.001 of lower bound 1"                            
## [1] ""
## [1] "Casal2 betadiff_casal_flags_on_low_tol model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[CRsl].mu' was within 0.001 of lower bound 1"                                 
## [1] ""
## [1] "Casal2 adolc_casal_flags_on model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [1] ""
## [1] "Casal2 adolc_casal_flags_off model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
## [1] ""
## [1] "Casal2 adolc_casal_flags_on_low_tol model warnings"
##  [1] "Estimates were removed because of matching lower and upper bounds. Originally had 134 estimates, now have 133"
##  [2] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [3] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [4] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [5] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
##  [6] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"                          
##  [7] "estimated parameter 'process[recruit_E].b0' was within 0.001 of upper bound 16.2"                             
##  [8] "estimated parameter 'process[recruit_W].b0' was within 0.001 of upper bound 0.59"                             
##  [9] "estimated parameter 'process[recruit_E].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [10] "estimated parameter 'process[recruit_W].ycs_values{1999}' was within 0.001 of lower bound 0.06"               
## [11] "estimated parameter 'selectivity[sel_Whome].v{7}' was within 0.001 of upper bound 1"

1.5 Matching of outputs

Time series comparisons with CASAL base model results

## [1] "Catch time series base model comparison for run betadiff_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run betadiff_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_off"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""
## [1] "Catch time series base model comparison for run adolc_casal_flags_on_low_tol"
## [1] "Actual catches for Ensp1 match: yes"
## [1] "Actual catches for Wnsp1 match: yes"
## [1] "Actual catches for Ensp2 match: yes"
## [1] "Actual catches for Wnsp2 match: yes"
## [1] "Actual catches for Esp match: yes"
## [1] "Actual catches for Wsp match: yes"
## [1] ""

Derived quantities

SB0, SBcurrent, MSY, F_MSY, others…

1.6 Plots

Comparison plots

## [1] "CASAL base parameter correlation range (excluding 1.0): -0.9914 0.9969"

## [1] "CASAL sensitivity 1 parameter correlation range (excluding 1.0): -0.9324 0.9968"

## [1] "Casal2 betadiff_casal_flags_on parameter correlation range (excluding 1.0): -0.890942874908357 0.996776606630884"

## Warning in min(x): no non-missing arguments to min; returning Inf

## Warning in max(x): no non-missing arguments to max; returning -Inf

## [1] "Casal2 betadiff_casal_flags_off parameter correlation range (excluding 1.0): Inf -Inf"

## [1] "Casal2 betadiff_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.939452660139753 0.996798182627236"

## [1] "Casal2 adolc_casal_flags_on parameter correlation range (excluding 1.0): -0.883243800438931 0.996698553552037"

## [1] "Casal2 adolc_casal_flags_off parameter correlation range (excluding 1.0): -0.887199176292272 0.996753693490936"

## [1] "Casal2 adolc_casal_flags_on_low_tol parameter correlation range (excluding 1.0): -0.928187528764059 0.99670453783595"